Devang Sehgal

Devang Sehgal is a PhD candidate in medical engineering and medical physics whose research aims to improve the clinical utility of electrical stimulation techniques for the treatment of neurological disorders. Specifically, Devang seeks to address the shortcomings of current trial- and-error-reliant methods by building a deeper understanding of the neurophysiological effects of stimulation and the brain network dynamics underlying diseases. He is testing a new multisite stimulation approach that could enable modulation of the brain network at scale. Devang’s project includes conducting experiments to compare the effects of single and dual-site stimulation in epilepsy patients, investigating the changes to the brain’s functional connectivity induced by delivery of stimulation from two sites, with the goal of contextualizing results in a patient-specific manner to aid eventual clinical deployment. MATLAB tools such as Blackrock’s Neural Processing Kit and Chronux are integral to Devang’s work, and he has made significant contributions to the development of MATLAB API CereLAB. His research is expanding our understanding of the underlying mechanisms of intracranial stimulation which is critical for developing new stimulation approaches to treat epilepsy and other brain disorders.